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De novo sequencing of tree peony (Paeonia suffruticosa) transcriptome to identify critical genes involved in flowering and floral organ development

Overview of attention for article published in BMC Genomics, July 2019
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Mentioned by

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2 tweeters

Citations

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10 Dimensions

Readers on

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10 Mendeley
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Title
De novo sequencing of tree peony (Paeonia suffruticosa) transcriptome to identify critical genes involved in flowering and floral organ development
Published in
BMC Genomics, July 2019
DOI 10.1186/s12864-019-5857-0
Pubmed ID
Authors

Shunli Wang, Jie Gao, Jingqi Xue, Yuqian Xue, Dandan Li, Yanren Guan, Xiuxin Zhang

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Student > Doctoral Student 2 20%
Professor > Associate Professor 1 10%
Student > Master 1 10%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 20%
Environmental Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Immunology and Microbiology 1 10%
Medicine and Dentistry 1 10%
Other 1 10%
Unknown 3 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2019.
All research outputs
#12,257,883
of 15,426,345 outputs
Outputs from BMC Genomics
#6,644
of 8,723 outputs
Outputs of similar age
#189,233
of 260,623 outputs
Outputs of similar age from BMC Genomics
#11
of 17 outputs
Altmetric has tracked 15,426,345 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,723 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,623 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.